Rename and reorder chart sections, fix metadata ONE TRAJECTORY display (v0.3.39)

- Rename all chart sections with clearer naming convention
- Reorder: REPORTED sections first, then CALCULATED sections
- Open Leaderboard data by default, close REPORTED [AGGREGATED ALL]
- Add routing explanation text under button and in routing accordion
- Fix metadata ONE TRAJECTORY charts not showing on first load

app.py

@@ -1839,7 +1839,7 @@ def build_app():
         """)
         trajectories_state = gr.State(None)
 
-        gr.Markdown("# 🧮 SWE-bench Bash-Only Leaderboard `v0.3.38`")
+        gr.Markdown("# 🧮 SWE-bench Bash-Only Leaderboard `v0.3.39`")
         gr.Markdown("## 🎯 Select a base model for cost analysis (click a row)")
 
         with gr.Row():
@@ -1860,37 +1860,37 @@ def build_app():
                             plot_steps = gr.Plot(label="Distribution of API Calls (Steps) per Trajectory")
                             plot_cost = gr.Plot(label="Distribution of Cost Reported by Leaderboard ($)")
 
-                    with gr.Accordion("Metadata from .traj", open=True):
+                    with gr.Accordion("Token counts REPORTED in the metadata of .traj files [AGGREGATED ALL]", open=False):
                         with gr.Row():
                             plot_tokens_meta = gr.Plot(label="Total Tokens by Type")
                             plot_tokens_cost_meta = gr.Plot(label="Total Cost by Token Type ($)")
 
-                    with gr.Accordion("Metadata from .traj by trajectory", open=False):
+                    with gr.Accordion("Token counts REPORTED in the metadata of .traj files [AGGREGATED BY TRAJECTORY]", open=False):
                         with gr.Row():
                             plot_stacked_meta = gr.Plot(label="Tokens per Trajectory (stacked)")
                         with gr.Row():
                             plot_cost_breakdown_meta = gr.Plot(label="Cost per Trajectory")
 
-                    with gr.Accordion("Calculated from .traj messages", open=True):
+                    with gr.Accordion("Token counts REPORTED in the metadata of .traj files [ONE TRAJECTORY]", open=False, visible=False) as single_traj_meta_accordion:
+                        with gr.Row():
+                            single_traj_meta_dropdown = gr.Dropdown(label="Select Issue", choices=[], interactive=True)
+                        with gr.Row():
+                            single_traj_meta_plot = gr.Plot(label="Tokens per Step (stacked)")
+                        with gr.Row():
+                            single_traj_meta_cost_plot = gr.Plot(label="Cost per Step (stacked) ($)")
+
+                    with gr.Accordion("Token counts CALCULATED from .traj files [AGGREGATED ALL]", open=False):
                         with gr.Row():
                             plot_tokens_calc = gr.Plot(label="Total Tokens by Type")
                             plot_tokens_cost_calc = gr.Plot(label="Total Cost by Token Type ($)")
 
-                    with gr.Accordion("Calculated from .traj messages by trajectory", open=False):
+                    with gr.Accordion("Token counts CALCULATED from .traj files [AGGREGATED BY TRAJECTORY]", open=False):
                         with gr.Row():
                             plot_stacked_calc = gr.Plot(label="Tokens per Trajectory (stacked)")
                         with gr.Row():
                             plot_cost_breakdown_calc = gr.Plot(label="Cost per Trajectory")
 
-                    with gr.Accordion("One trajectory statistics. Metadata from .traj", open=False, visible=False) as single_traj_meta_accordion:
-                        with gr.Row():
-                            single_traj_meta_dropdown = gr.Dropdown(label="Select Issue", choices=[], interactive=True)
-                        with gr.Row():
-                            single_traj_meta_plot = gr.Plot(label="Tokens per Step (stacked)")
-                        with gr.Row():
-                            single_traj_meta_cost_plot = gr.Plot(label="Cost per Step (stacked) ($)")
-
-                    with gr.Accordion("One trajectory statistics. Calculated from .traj messages", open=False, visible=False) as single_traj_accordion:
+                    with gr.Accordion("Token counts CALCULATED from .traj files [ONE TRAJECTORY]", open=False, visible=False) as single_traj_accordion:
                         with gr.Row():
                             single_traj_dropdown = gr.Dropdown(label="Select Issue", choices=[], interactive=True)
                         with gr.Row():
@@ -1898,7 +1898,8 @@ def build_app():
                         with gr.Row():
                             single_traj_cost_plot = gr.Plot(label="Cost per Step (stacked) ($)")
 
-                    with gr.Accordion("Calculated with routing", open=True, visible=False) as routing_plots_row:
+                    with gr.Accordion("Token counts CALCULATED from .traj files, with ROUTING [AGGREGATED ALL]", open=True, visible=False) as routing_plots_row:
+                        gr.Markdown("*With routing all messages in the trajectory remain as they are, but messages that match the selected filters are assigned to selected models for routing to.*")
                         with gr.Row():
                             routing_tokens_plot = gr.Plot(label="Tokens by Type (per Model)")
                             routing_cost_plot = gr.Plot(label="Cost by Type (per Model) ($)")
@@ -2087,6 +2088,7 @@ def build_app():
 
                     gr.Markdown("---")
                     route_btn = gr.Button("🚀 Let's ROUTE!!", variant="primary", size="lg", interactive=False)
+                    gr.Markdown("*With routing all messages in the trajectory remain as they are, but messages that match the selected filters are assigned to selected models for routing to.*")
                     routing_result = gr.Markdown(visible=False)
 
 
@@ -2862,6 +2864,13 @@ def build_app():
             first_meta_issue = meta_issue_ids[0] if meta_issue_ids else None
             has_meta_steps = len(meta_issue_ids) > 0
 
+            fig_single_traj_meta = None
+            fig_single_traj_meta_cost = None
+            if first_meta_issue and first_meta_issue in metadata_steps:
+                meta_steps = metadata_steps[first_meta_issue]
+                fig_single_traj_meta = create_single_trajectory_meta_chart(meta_steps)
+                fig_single_traj_meta_cost = create_single_trajectory_meta_cost_chart(meta_steps, input_price, cache_read_price, cache_creation_price, completion_price)
+
             progress(1, desc="Done")
             yield (
                 f"✅ Loaded {len(df_meta)} trajectories",
@@ -2877,8 +2886,8 @@ def build_app():
                 gr.update(),
                 gr.update(visible=has_meta_steps),
                 gr.update(choices=meta_issue_ids, value=first_meta_issue),
-                gr.update(),
-                gr.update(),
+                fig_single_traj_meta,
+                fig_single_traj_meta_cost,
             )
 
         def on_single_traj_select(state_data, issue_id, input_price, cache_read_price, cache_creation_price, completion_price, overhead, with_cache):